A. Díaz‐Pulido
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 18 citations into it; #13,576 of 21,575 by trust here, #19,310 by citations
Whom A. Díaz‐Pulido trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts A. Díaz‐Pulido overall
Papers from A. Díaz‐Pulido's perspective
Ordered by how strongly the researchers A. Díaz‐Pulido trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Fully convolutional networks for semantic segmentation
- Improved adaptive Gaussian mixture model for background subtraction (Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.)
- A texture-based method for modeling the background and detecting moving objects (IEEE Transactions on Pattern Analysis and Machine Intelligence)
- Robust principal component analysis?
- Evaluation of background subtraction techniques for video surveillance (Computer Vision and Pattern Recognition)
- Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
- Spatiotemporal Saliency in Dynamic Scenes (IEEE Transactions on Pattern Analysis and Machine Intelligence)
- Ensemble Video Object Cut in Highly Dynamic Scenes
- Traditional and recent approaches in background modeling for foreground detection: An overview (Computer Science Review)
Their papers
- Camera-trap images segmentation using multi-layer robust principal component analysis (2017) — 34 citations